Demand forecastingOn Growth & Scale plans

See the stockout before it happens.

BasketBooster forecasts demand for every product in your store, up to 28 days out, and turns the forecast into a reorder list you can act on the same morning.

Days of cover per productWeather & holiday signalsOverstock & markdownsMonday action email
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The dashboard

What the forecast hands you.

A to-do list up front, with the chart behind it. Reorder these, watch this cold snap, mark that down, and check the forecast curve whenever you want to see why.

01 / REORDER

Know what runs out, before it does

Every product gets a days-of-cover number. When one is heading for zero inside your delivery window, it moves to the top of your reorder list with a date on it: order by Friday, or you’re empty by the 14th.

Why it works: you get a list you can hand to a supplier. Product, SKU, how many, by when, ranked by urgency and built from your real lead time.
Replenishment4 to order

Merino Base Layer

MBL-204 · 3 days of cover

120 unitsOrder now

Trail Runner GTX

TRG-118 · 6 days of cover

60 unitsOrder now

Insulated Bottle 750

IB-750 · 11 days of cover

200 unitsThis week

Wool Beanie

WB-031 · 13 days of cover

90 unitsThis week
Next 28 daysCold snap
Sold Forecast High / low

02 / SIGNALS

It knows it’s about to rain

Your forecast reads the weather at your store’s location and your country’s holiday calendar. A cold snap, Black Friday, the days people get paid: it’s all in the numbers instead of in your head.

Why it works: seasonal stock turns on things you can’t diarise. The forecast watches them for every product, every night.

03 / OVERSTOCK

The cash sitting in your stockroom

The other half of the problem: what’s overstocked, how many weeks of cover it has, and what discount would clear it, worked out from how your customers responded to price changes before.

Why it works: the discount is calculated, not guessed. You see the smallest markdown that actually moves the stock.
Overstock12 weeks+

Linen Shirt (SS)

LS-090 · last sold 24 days ago

180 excess-20%

Canvas Tote

CT-012 · last sold 11 days ago

95 excess-15%

Straw Hat

SH-007 · last sold 31 days ago

64 excess-30%

Three things to do, every Monday at 7am

One short email. What to reorder, what’s stuck, what shoppers searched for and didn’t find. Read it with your coffee, act on it before the week starts.

We show you how accurate it is

Every forecast comes with a high and low estimate, and we measure how often reality lands inside them, then put that number on your dashboard. When the forecast is still learning your store, it says so instead of pretending.

Works on Growth and Scale. Needs your stock levels and order history. The WooCommerce plugin sends both automatically.

How it works

Numbers in on Tuesday, a plan by Monday.

1

Connect stock and orders

The WooCommerce plugin sends stock levels and order history automatically. On other platforms you push them through the API or upload a CSV of past orders.

2

Every night, every product

The model forecasts the next 28 days for each product and reads outside signals too: the weather at your store’s location and your country’s holiday calendar.

3

Monday tells you what to do

The forecast becomes a reorder list with dates and quantities, an overstock list with calculated markdowns, and one short email at 7am on Monday.

Where it shows up

Four places the forecast does its work.

You never look at the raw model. You look at what it wants you to do.

The reorder list

Product, SKU, quantity, order-by date, ranked by urgency and built from your real lead times. You can hand it to a supplier as it is.

Stockout alerts

When a product is heading for zero inside your delivery window, it moves to the top with a date on it: order by Friday, or you’re empty by the 14th.

The overstock view

What is overstocked, how many weeks of cover it holds, and the smallest markdown that would actually clear it.

The Monday email

Three things to do before the week starts: what to reorder, what is stuck, and what shoppers searched for but didn’t find.

Why it works

Forecasts you can check up on.

It reads signals you can’t diarise

A cold snap, Black Friday, the days people get paid. The model watches them for every product, every night, instead of relying on your memory of last year.

Days of cover is the honest number

It comes from your real sales rate and your real lead time, and it answers the question that matters: will this run out before the next delivery arrives?

Markdowns are calculated

The suggested discount comes from how your customers responded to your past price changes. You see the smallest markdown that moves the stock, instead of defaulting to 30% off and hoping.

It shows its own accuracy

Every forecast carries a high and low estimate. We measure how often reality lands inside that range and print the number on your dashboard. While the model is still learning your store, it says so.

Integration

Two inputs, one plan.

Forecasting needs your stock levels and your order history. On WooCommerce the plugin sends both automatically. On a custom store you push them through the API, or upload a CSV of past orders to get going. The whole product, overstock and markdowns included, is part of the Growth plan and up.

The WooCommerce plugin guide and the API reference are in the developer docs →

FAQ

Forecasting, answered.

Buy what will sell. Mark down what won’t.

On Growth and Scale. 14-day free trial, no credit card.